15:51:12: Warning: Permanently added '10.0.0.199' (RSA) to the list of known hosts. 15:51:12: Hello I'm the main node! I run the mpi job! Waiting for all compute nodes to start.ĭownload: s3://parallelcluster-awsbatch-tutorial-iwyl4458saiwgwvg/batch/job-submit_mpi_sh-1543333713772.sh to tmp/batch/job-submit_mpi_sh-1543333713772.sh We are now ready to submit our first MPI job and make it run concurrently on ~]$ awsbout -s 5b4d50f8-1060-4ebf-ba2d-1ae868bbd92d#0 # All compute nodes are terminated by AWS Batch if the main node exits abruptly.
A simple trick is to wait for a file containing the status code to be created. # Since mpi orchestration happens on the main node, we need to make sure the containers representing the compute Now save the following code as submit_mpi.sh:Įcho "ip container: $(/sbin/ip -o -4 addr list eth0 | awk ' /mpi_hello_world"Įcho "Hello I'm the compute node $HOSTNAME! I let the main node orchestrate the mpi processing!" Printf("Hello world from processor %s, rank %d out of %d processors\n", MPI_Get_processor_name(processor_name, &name_len) MPI_Comm_rank(MPI_COMM_WORLD, &world_rank) Ĭhar processor_name MPI_Comm_size(MPI_COMM_WORLD, &world_size)
implementations might need the arguments. currently used by MPI implementations, but are there in case future MPI_Comm_rank, MPI_Finalize, and MPI_Get_processor_name. An intro MPI hello world program that uses MPI_Init, MPI_Comm_size, Wait 30 seconds for the job to finish, and then Note that the job is currently in a RUNNING state.